091~092 haar cascade

Author: JimmyHHua

README.md

@@ -129,3 +129,5 @@ code_087 | [Video Analysis-Frame Difference Moving Object Analysis](python/code_
 code_088 | [Video Analysis-Meanshift](python/code_088)   | ✏️
 code_089 | [Video Analysis-CamShift](python/code_089)   | ✏️
 code_090 | [Video Analysis-Object Movement Trajectory Drawing](python/code_090)   | ✔️
+code_090 | [Object Detection-HAAR Cascade Classification ](python/code_091)   | ✔️
+code_090 | [Object Detection-HAAR Feature Analysis](python/code_092)   | ✔️

README_CN.md

@@ -128,3 +128,5 @@ code_087 | [视频分析-帧差移动对象分析](python/code_087/opencv_087.py
 code_088 | [视频分析-均值迁移](python/code_088)   | ✏️
 code_089 | [视频分析-连续自适应均值迁移](python/code_089)   | ✏️
 code_090 | [视频分析-对象移动轨迹绘制](python/code_090)   | ✔️
+code_090 | [对象检测-HAAR级联分类器](python/code_091)   | ✔️
+code_090 | [对象检测-HAAR特征分析](python/code_092)   | ✔️

python/code_091/README.md

@@ -0,0 +1,2 @@
+#### More Detail, please check the blog of zhihu as below
+✈️ ✈️ ✈️ [人脸检测-Haar级联](https://zhuanlan.zhihu.com/p/72709866)

python/code_091/face.jpg

@@ -0,0 +1,35 @@
+import cv2 as cv
+
+capture = cv.VideoCapture(0)
+detector = cv.CascadeClassifier(cv.data.haarcascades + "haarcascade_frontalface_alt.xml")
+
+image = cv.imread('people.jpg')
+faces = detector.detectMultiScale(image, scaleFactor=1.05, minNeighbors=1,
+                                          minSize=(50, 50), maxSize=(500, 500))
+for x, y, width, height in faces:
+    cv.rectangle(image, (x, y), (x+width, y+height), (0, 0, 255), 2, cv.LINE_8, 0)
+cv.imshow("faces", image)
+cv.waitKey(0)
+cv.imwrite('face.jpg', image)
+
+'''
+while True:
+    ret, image = capture.read()
+
+    if ret is True:
+        cv.imshow("frame", image)
+        faces = detector.detectMultiScale(image, scaleFactor=1.05, minNeighbors=1,
+                                          minSize=(30, 30), maxSize=(500, 500))
+        for x, y, width, height in faces:
+            cv.rectangle(image, (x, y), (x+width, y+height), (0, 0, 255), 2, cv.LINE_8, 0)
+        cv.imshow("faces", image)
+        c = cv.waitKey(50)
+        if c == 27:
+            break
+    else:
+        break
+
+cv.destroyAllWindows()
+'''
+
+

python/code_091/opencv_091.py

@@ -0,0 +1,2 @@
+#### More Detail, please check the blog of zhihu as below
+✈️ ✈️ ✈️ [人脸检测-Haar级联](https://zhuanlan.zhihu.com/p/72709866)

python/code_091/people.jpg

@@ -0,0 +1,53 @@
+import cv2 as cv
+
+capture = cv.VideoCapture(1)
+face_detector = cv.CascadeClassifier(cv.data.haarcascades + "haarcascade_frontalface_alt2.xml")
+eye_detector = cv.CascadeClassifier(cv.data.haarcascades + "haarcascade_eye.xml")
+smile_detector = cv.CascadeClassifier(cv.data.haarcascades + "haarcascade_smile.xml")
+
+image = cv.imread('people.jpg')
+faces = face_detector.detectMultiScale(image, scaleFactor=1.05, minNeighbors=3,
+                                  minSize=(50, 50), maxSize=(300, 300))
+for x, y, width, height in faces:
+    cv.rectangle(image, (x, y), (x+width, y+height), (0, 0, 255), 2, cv.LINE_8, 0)
+    roi = image[y:y+height,x:x+width]
+
+    eyes = eye_detector.detectMultiScale(roi, scaleFactor=1.1, minNeighbors=5,
+                                       minSize=(20, 20), maxSize=(30,30))
+    smiles = smile_detector.detectMultiScale(roi, scaleFactor=1.05, minNeighbors=2,
+                                             minSize=(20, 20))
+
+    for ex, ey, ew, eh in eyes:
+        cv.rectangle(roi, (ex, ey), (ex + ew, ey + eh), (255, 0, 0), 2)
+
+    for sx, sy, sw, sh in smiles:
+        cv.rectangle(roi, (sx, sy), (sx + sw, sy + sh), (0, 255, 0), 2)
+        cv.putText(image, 'Smile', (x+10, y-7), cv.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 0), 2)
+
+cv.imshow("faces", image)
+cv.imwrite("face_smile_eye.jpg", image)
+cv.waitKey(0)
+'''
+while True:
+    ret, image = capture.read()
+    if ret is True:
+        cv.imshow("frame", image)
+        faces = face_detector.detectMultiScale(image, scaleFactor=1.05, minNeighbors=3,
+                                          minSize=(30, 30), maxSize=(300, 300))
+        for x, y, width, height in faces:
+            cv.rectangle(image, (x, y), (x+width, y+height), (0, 0, 255), 2, cv.LINE_8, 0)
+        roi = image[y:y+height,x:x+width]
+        smiles = smile_detector.detectMultiScale(roi, scaleFactor=1.7, minNeighbors=3,
+                                               minSize=(15, 15), maxSize=(100, 100))
+        for sx, sy, sw, sh in smiles:
+            cv.rectangle(roi, (sx, sy), (sx + sw, sy + sh), (0, 255, 0), 1)
+
+        cv.imshow("faces", image)
+        c = cv.waitKey(50)
+        if c == 27:
+            break
+    else:
+        break
+'''
+cv.destroyAllWindows()
+